Latest news with #Qwen3
TECHx
2 days ago
- Business
- TECHx
DeepSeek Releases Update to R1 Model, Nears OpenAI
Home » Latest news » DeepSeek Releases Update to R1 Model, Nears OpenAI Chinese artificial intelligence startup DeepSeek has released an update to its R1 reasoning model, increasing pressure on U.S. rivals like OpenAI. The update, named R1-0528, was launched on developer platform Hugging Face in the early hours of Thursday. However, the company has not made an official public announcement or shared a detailed model description. Despite the quiet release, early results suggest strong performance. The LiveCodeBench leaderboard, a benchmark created by researchers at UC Berkeley, MIT, and Cornell, ranked the updated R1 model just behind OpenAI's o4 mini and o3 in code generation. It also ranked ahead of xAI's Grok 3 mini and Alibaba's Qwen 3. • DeepSeek's R1-0528 is now publicly available on Hugging Face • Ranked closely behind top models from OpenAI on key benchmarks Bloomberg first reported the update on Wednesday. According to the report, a DeepSeek representative revealed in a WeChat group that the company had completed a 'minor trial upgrade' and invited users to begin testing. The move comes as global AI competition heats up. Google's Gemini has introduced discounted access tiers, while OpenAI recently released the o3 Mini, a lightweight model with reduced computing demands. Meanwhile, DeepSeek is widely expected to launch a next-generation model. In March, Reuters reported that R2, a successor to the R1 line, was initially planned for release in May. In the same month, DeepSeek also upgraded its V3 large language model, highlighting its ongoing efforts to keep pace with industry leaders. Though it remains relatively quiet about its releases, DeepSeek's performance on recognized benchmarks signals growing competitiveness in the AI space.
Yahoo
4 days ago
- Business
- Yahoo
Alibaba vs. JD.com: Which Chinese E-Commerce Stock Has More Upside?
Alibaba Group BABA and JD are two of China's largest e-commerce players, each playing a critical role in shaping the country's digital economy. While Alibaba has expanded into cloud, AI, and international markets, continues to build on its strength in supply chain and core retail. Both companies are also tapping into new growth areas like food delivery and instant commerce to stay ahead in a competitive China's economy gradually stabilizing and digital consumption rebounding, investors are watching closely to see which platform offers stronger, more sustainable growth. Let's break down their latest earnings and strategies to find out which stock has the greater upside potential. Alibaba has been benefiting from its continued pivot toward AI, international e-commerce and retail. In the fourth quarter of fiscal 2025, the company reported $32.81 billion in revenues, up 6.96% year over year. The Taobao and Tmall Group has been steadily improving monetization through the rollout of a 0.6% software fee and BABA's AI-powered digital marketing tool Quanzhantui, which has helped drive a 12% rise in customer management company's loyalty base has also expanded, with 88VIP members surpassing 50 million, supporting higher user retention. 88VIP is Alibaba's premium paid membership program through which members can enjoy exclusive benefits across the company's international commerce segment has been growing rapidly, up 22% year over year in the last reported quarter, as the company continues to localize supply chains and refine models like AliExpress Choice, which have been improving unit economics and narrowing company has also been seeing strong results from its investments in AI developments. Alibaba Cloud revenues rose 18%, with AI product revenues continuing triple-digit year-over-year growth for the seventh straight quarter. Its open-sourced Qwen3 AI model family, launched in April, had been downloaded more than 300 million times by April end, driving adoption across multiple has been expanding its instant commerce push with a RMB 10 billion investment into Taobao Shango and which has already shown promising early results in user engagement and Alibaba has been streamlining its focus by exiting non-core assets like Sun Art and Intime, and redirecting capital into scalable segments. has been benefiting from its focus on supply chain strength, price competitiveness and retail expansion into lower-tier markets. In the first quarter of 2025, JD reported $41.79 billion in revenues, up 16.01% year over year, supported by continued growth in core retail. Electronics and home appliances rose 17%, and general merchandise grew 15%, with supermarket and fashion categories maintaining double-digit growth for five consecutive engagement has been rising steadily. JD has been enhancing shopping frequency and ARPU through AI-powered recommendations, better after-sales services, and personalized delivery features. The company reported more than 20% year-over-year growth in active customers in the last reported 3P marketplace has been expanding with more merchants and SKUs, especially in value-driven markets. This has been driving 16% year-over-year growth in marketing and marketplace revenues, with the low-price strategy resonating across lower-tier has also been aggressively expanding into food delivery, nearing 20 million daily orders. It has been onboarding merchants at zero commission, offering full rider insurance, and leveraging its retail infrastructure for scale. These efforts have been helping build cross-platform user Logistics has been contributing with 11% revenue growth, driven by continued automation in warehousing and last-mile delivery. The company's gross profit rose 20%, and non-GAAP net income surged 43% year over year to RMB 12.8 billion, highlighting strong margin has also been investing in AI ad automation, expanding Jingxi in rural areas and and enhancing user operations to drive long-term growth through improved platform efficiency and stronger user engagement. Performance metrics strengthen Alibaba's case. Year to date, shares of BABA have rallied 42.4%, while JD shares have lost 3.8%. Alibaba has also outperformed the broader Zacks Retail-Wholesale sector's growth of 0.6% and the S&P 500 index's decline of 1.8%. JD has underperformed both. Alibaba's outperformance comes despite ongoing concerns about China's economy, showing growing investor confidence in its diversified business model and focused strategy. Image Source: Zacks Investment Research In terms of valuation, BABA's current forward 12-month P/E ratio of 11.13X is ahead of JD's 7.63X. Although BABA is trading at a significant premium compared to JD, the premium valuation reflects investor confidence in the company's growth potential for the rest of 2025. In contrast, JD's current forward 12-month P/E ratio indicates more cautious market sentiment around its near-term performance. Image Source: Zacks Investment Research The Zacks Consensus Estimate for BABA's first-quarter fiscal 2026 earnings is pegged at $2.48 per share, which has been revised upward by 4.6% over the past seven days, indicating a 9.73% increase year over year. The consensus estimate for first-quarter revenues is pinned at $34.85 billion, suggesting year-over-year growth of 4.13%. Alibaba Group Holding Limited price-consensus-chart | Alibaba Group Holding Limited Quote The Zacks Consensus Estimate for JD's second-quarter 2025 earnings is pegged at 97 cents per share, which has remained steady over the past seven days, indicating 24.81% year over year decline. The consensus estimate for second-quarter revenues is pinned at $46.85 billion, suggesting a year-over-year increase of 16.85%. Inc. price-consensus-chart | Inc. Quote While both and Alibaba are growing, Alibaba is the better pick for investors right now. It has been gaining from strong momentum in cloud, AI and international e-commerce. Its fourth-quarter fiscal 2025 results showed steady growth, with cloud revenues up 18% and AI products growing fast for the seventh straight quarter. Alibaba is also expanding into instant delivery through and Taobao Shango, adding new ways to engage users. JD is facing losses in its new business segment, particularly food delivery, and aggressive investments in AI, automation, and logistics are weighing on its near-term profitability. Hence, with a more balanced business and proven innovation, Alibaba offers more upside with less BABA has a Zacks Rank #3 (Hold), making the stock a better pick compared with JD, which has a Zacks Rank #4 (Sell). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Inc. (JD) : Free Stock Analysis Report Alibaba Group Holding Limited (BABA) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
Geeky Gadgets
21-05-2025
- Geeky Gadgets
500MB AI Models : The Surprising Power of Going Small
What if the future of AI wasn't about bigger, faster, or more powerful, but instead about being smaller, smarter, and more accessible? Imagine a world where a lightweight, 500MB language model could run seamlessly on your aging laptop or even your tablet, offering real-time assistance without relying on the cloud. It sounds almost too good to be true, doesn't it? Yet, this is precisely the promise of compact large language models (LLMs) like the Qwen 3 family. These models challenge the notion that innovative AI requires massive computational resources, proving that efficiency and practicality can coexist with innovation. But how far can a model this small really go? The answer might surprise you. In this overview, Gary explores the surprising capabilities of these small-scale LLMs and the unique value they bring to the table. From grammar correction and sentiment analysis to creative brainstorming and coding support, these models punch well above their weight in everyday tasks. But it's not all smooth sailing—there are trade-offs, and understanding their limitations is just as important as appreciating their strengths. Whether you're a student, a professional, or simply curious about the future of AI, this dive into the world of 500MB LLMs will leave you questioning whether bigger is always better. Sometimes, the most impressive innovations come in the smallest packages. Small-Scale LLMs Overview The Qwen 3 family of LLMs spans a wide range of parameter sizes, from 0.6 billion to 235 billion. At the smallest end of the spectrum, the 500MB model is specifically designed to operate on basic hardware, such as older GPUs, CPUs, laptops, and even tablets. This accessibility is a significant advantage, allowing users to harness the power of AI without the need for high-end infrastructure or cloud-based services. These models are particularly well-suited for localized deployment, where lightweight processing is essential. By running directly on everyday devices, they eliminate the need for constant internet connectivity, making sure privacy and reducing latency. This makes them an attractive option for users in remote areas or those with limited access to high-speed internet. What Can a 500MB Model Do? Despite their compact size, small-scale LLMs like the 500MB Qwen 3 model are surprisingly capable and versatile. They excel in a variety of practical applications, offering reliable performance for everyday tasks. Some of their core strengths include: Grammar and Spelling Correction: These models can identify and correct common errors in text, making them ideal for proofreading and editing tasks, whether for personal or professional use. These models can identify and correct common errors in text, making them ideal for proofreading and editing tasks, whether for personal or professional use. Sentiment Analysis: They can evaluate the emotional tone of text, such as determining whether a review or comment is positive, negative, or neutral. They can evaluate the emotional tone of text, such as determining whether a review or comment is positive, negative, or neutral. Basic Coding Assistance: With clear instructions, these models can generate simple Python scripts or code snippets, making them a helpful tool for beginners or those working on straightforward coding tasks. With clear instructions, these models can generate simple Python scripts or code snippets, making them a helpful tool for beginners or those working on straightforward coding tasks. Text Summarization and Rewriting: They can condense lengthy or complex text into concise summaries or rephrase content for improved clarity and readability. They can condense lengthy or complex text into concise summaries or rephrase content for improved clarity and readability. Creative Ideation: From brainstorming ideas to generating titles for videos or articles, these models can support creative processes effectively. These capabilities make small-scale LLMs valuable tools for users seeking quick, localized solutions. They are particularly useful for tasks that do not require the extensive computational power or advanced reasoning capabilities of larger models. What Can a 500MB LLM Actually Do? Watch this video on YouTube. Check out more relevant guides from our extensive collection on Large Language Models (LLMs) that you might find useful. Where Do They Fall Short? While small-scale LLMs offer impressive functionality for their size, they do have inherent limitations due to their reduced parameter count. These constraints affect their ability to handle more complex or nuanced tasks. Some of the key challenges include: Complex Logic and Reasoning: These models struggle with tasks that require advanced logic, such as solving intricate puzzles or interpreting nuanced arguments in text. These models struggle with tasks that require advanced logic, such as solving intricate puzzles or interpreting nuanced arguments in text. Historical and Factual Knowledge: Their ability to recall detailed or obscure information is limited compared to larger models, which have access to a broader knowledge base. Their ability to recall detailed or obscure information is limited compared to larger models, which have access to a broader knowledge base. Advanced Coding Tasks: While they can handle simple scripts, they lack the capacity to manage complex programming challenges or debug intricate code effectively. While they can handle simple scripts, they lack the capacity to manage complex programming challenges or debug intricate code effectively. Translation: Basic translations, particularly into English, are manageable, but nuanced or context-sensitive translations often fall short of expectations. These limitations highlight the trade-offs involved in using smaller models. While they are efficient and accessible, they are not designed to replace larger models for tasks that demand extensive computational power or deep contextual understanding. How Do They Compare to Larger Models? Larger LLMs, such as those with 31 billion parameters or more, offer significantly enhanced performance in areas like advanced reasoning, detailed factual recall, and complex task execution. These models can generate comprehensive essay outlines, solve intricate problems, and provide richer, more nuanced outputs. Some even incorporate advanced 'thinking models' that simulate reasoning processes, further improving their capabilities. However, these advantages come with notable trade-offs. Larger models require substantial computational power, often necessitating high-end GPUs or cloud-based infrastructure. This makes them less accessible to users with limited hardware or those seeking localized solutions. Additionally, their reliance on cloud services can raise concerns about data privacy and latency, particularly for sensitive or time-critical tasks. In contrast, small-scale models like the 500MB Qwen 3 prioritize accessibility and efficiency. They are designed to operate on everyday devices, making them a practical choice for users who value convenience and privacy over raw computational power. Where Can Small-Scale Models Be Used? Small-scale LLMs are particularly valuable for localized and lightweight applications. Their ability to perform tasks like grammar checking, summarization, and ideation on everyday devices makes them an attractive option for a wide range of users. For example: Students: A student working on a laptop can use a 500MB model to proofread essays, summarize research papers, or brainstorm creative ideas without needing internet connectivity or high-performance hardware. A student working on a laptop can use a 500MB model to proofread essays, summarize research papers, or brainstorm creative ideas without needing internet connectivity or high-performance hardware. Professionals: Professionals in various fields can deploy these models for quick text analysis, content rewriting, or summarization tasks, all while maintaining control over their data by avoiding cloud-based solutions. Professionals in various fields can deploy these models for quick text analysis, content rewriting, or summarization tasks, all while maintaining control over their data by avoiding cloud-based solutions. Small Businesses: Entrepreneurs and small business owners can use these models for tasks like drafting marketing copy, analyzing customer feedback, or generating ideas for social media content. As advancements in model architecture and optimization continue, small-scale LLMs are likely to become even more efficient and versatile. Future innovations could expand their capabilities, allowing them to handle more complex tasks while maintaining their lightweight nature. This evolution could further bridge the gap between performance and accessibility, making AI tools more inclusive and widely available. The Role of Small-Scale LLMs in AI's Future The 500MB Qwen 3 model exemplifies the potential of small-scale LLMs to deliver practical, localized solutions for language processing tasks. While they cannot replace larger models for complex or knowledge-intensive applications, their accessibility, efficiency, and versatility make them a valuable tool for everyday use. By addressing the needs of users with limited hardware or specific privacy concerns, these models are paving the way for a more inclusive and decentralized AI landscape. As technology continues to evolve, small-scale LLMs are poised to play an increasingly important role in making AI accessible to all. Media Credit: Gary Explains Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Martechvibe
21-05-2025
- Business
- Martechvibe
Cordoniq Announces Qwen3 Integration
By integrating Qwen3 into its platform, Cordoniq will deliver an experience that combines secure business processes and collaborations with real-time analytics and interactive AI outputs. Cordoniq, an AI-driven platform for business processes and collaborations, has announced its new integration with Alibaba Cloud's Qwen3. This integration is the first step to provide organisations with AI-driven solutions that deliver interactive and cohesive live experiences, aiming to improve user engagement and intelligence. Companies can integrate the AI model's generative output back into the user experience, for interactive and real-time intelligence, for a cohesive, broader and more engaging live experience. Qwen3, Alibaba Cloud's latest AI model, offers multimodal capabilities, including text, image, video, and audio processing, along with natural language understanding and reasoning. By integrating Qwen3, Cordoniq will provide an experience combining secure business processes and collaborations with real-time analytics and interactive AI outputs. This integration enables organisations to benefit from features like vision-language modelling, AI-generated creative content, and real-time data interpretation—all within Cordoniq's framework. ALSO READ: Klook Enhances Travel Experiences with Google Cloud 'Our integration with Qwen3 is a game-changer for businesses looking to leverage the cutting-edge technology of multimodal AI,' said Allen Drennan, Co-Founder & Principal, Cordoniq. 'By combining Qwen3's unparalleled capabilities with Cordoniq's secure business processes and collaborations, we are empowering companies to achieve faster decision-making, deeper insights, and more engaging live interactions—all while maintaining military-grade security standards.' Key Benefits: Product Innovation: Teams can use AI to develop new products where no prior data exists, accelerating time-to-market. Hyper-Specific Customisation: Organisations can leverage their unique data inputs to generate new value from their data, allowing them to fine-tune AI models for their specific needs. Simulated Market Exploration: Organisations can explore potential new markets and scenarios using synthetic data and AI-driven simulations. Enhanced Collaboration: Cordoniq's secure-by-design platform ensures seamless integration of Qwen3 while maintaining military-grade security and privacy. Open Source & Commercial AI Integration: Companies can securely integrate with both open source and commercial AI models, whether in a public or private cloud or on-premises. OpenAI API Utilisation: Cordoniq utilises OpenAI's API to integrate directly with ChatGPT, Google Gemini and Alibaba Cloud's Qwen3 and feeds input data from a variety of sources – video, audio, images, text, documents, web content and more. The technology transcodes this data in real-time into formats that are compatible with a variety of AI models. 'Cordoniq's pre-developed frameworks accelerate time-to-market while maintaining agile and powerful AI integration for business intelligence applications,' added Allen Drennan, Co-Founder & Principal, Cordoniq. 'By incorporating Qwen3's generative outputs into user experiences, organisations can achieve cohesive and interactive live engagements that redefine collaboration standards. ALSO READ: 97% of Executives Face High Stakes in Revenue Growth The Martechvibe team works with a staff of in-house writers and industry experts. 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VISIT WEBSITE Adobe Experience Cloud offers Adobe Analytics and Adobe Target within its analytics tools solutions, enabling marketers to execute in-depth analysis of their customer data. Adobe Analytics allows the sales and marketing teams to mix, match, and analyse data from any digital point in the customer journey. VISIT WEBSITE Ahrefs features a suite of analytics tools under its Ahref Enterprise offering. It offers API and Looker Studio connectors, enabling marketing teams to elevate their SEO strategy with enterprise-grade and insights. Some of the criteria for its API endpoints include Backlinks, Organic & Paid Traffic, SERPs, Website health score and more. VISIT WEBSITE StackAdapt is a multi-channel programmatic advertising platform, enabling digital marketers to customise their strategy. It offers open and flexible DSP (Digital Signal Processing) capabilities for executing tailored ad campaigns. Furthermore, its ad previewer lets marketing teams preview video, display and native ads on desktop or mobile across 500+ publishers, covering 23 verticals. VISIT WEBSITE Rakuten is a global affiliate ad technology company, enabling advertisers to optimise their marketing strategies with data-driven insights. It offers AI-powered forecasting and benchmarking capabilities and dynamic multi-touch commissioning tools, allowing advertisers to customise their campaigns. It also supports first-party data collection integrations for both B2B and B2C marketers. VISIT WEBSITE Nielsen offers Nielsen Ad Intel, a cross-platform advertising intelligence platform with actionable insights to identify prospects, analyse brand strategies and learn from past advertising campaigns. It offers various advertising intelligence features such as ad spend monitoring, competitive benchmarking, global competitive insights and expert data harmonisation. VISIT WEBSITE Magnite is an independent sell-side advertising technology provider, enabling publishers to monetise their content across all screens and formats. It offers Magnite Streaming, a singular supply-side platform that merges technology from the Magnite CTV and SpotX platforms. Utilising this functionality, marketers can identify their potential audiences to restructure their targeting strategies. VISIT WEBSITE IBM offers a comprehensive suite of Watson Advertising to agencies and marketers. With Watson Advertising's AI-powered assistant, advertisers can customise their advertisements, based on real-time ad results. It also supports functionalities of cookieless advertising, ad fraud management and brand safety measurements. VISIT WEBSITE Google features a comprehensive list of AI-powered Ad tools under its Google Ads offering. Some of its popular tools include Keywords Planner, Ads Editor, Reach Planner, Ads Mobile App, Insights Finder, Ads API, and Recommendations Page. Additionally, it offers Google AdMob to help businesses plan their in-app revenue generation strategy. VISIT WEBSITE Criteo is an all-in-one connected commerce media platform, enabling marketers and agencies to scale their digital and physical assets. Leveraging the capabilities of its AI-powered technology, brands can develop strategies for intent-based product recommendations, multi-prolonged accessibility, contextual advertising, and more. VISIT WEBSITE Basis Tecnologies (formerly known as Centro), is a programmatic advertising platform, offering ad management tools for search, social and site direct via a single interface. Its flagship products are Basis Assistant and Basis Automate+. Basis Assistant is a Chrome extension, connecting 20+ platforms and tools, and Basis Automate+ is a digital advertising automation tool for simplifying campaign process. VISIT WEBSITE AppsFlyer is a mobile attribution company, helping mobile advertisers to identify their ad network. It offers a measurement suite, giving app marketers full visibility into their customer journeys while preserving their privacy. Utilising its AI-powered Creative Optimisation platform, marketers can formulate their creative strategy. VISIT WEBSITE Adtriba is a cross-channel digital marketing management platform based on data-driven attribution modelling. Its solutions include Adtriba Triangulation, enabling advertisers to witness the integration of diverse measurement methods, such as Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA) and Incrementality Testing. VISIT WEBSITE Adobe Experience Cloud offers connected advertising solutions with its natively integrated Adobe Advertising platform. Its consultancy-based reporting options come with AI-powered optimisation features, helping advertisers analyse their ad performance via 200+ measurement metrics. Utilising its connected TV (CTV) and search, social, and commerce tools, marketers can optimise their customer acquisition strategy. VISIT WEBSITE specialises in Conversational AI, generating autonomous conversations that appear human-like. These conversations form the foundation of brand engagement. Their AI-powered, no-code Dynamic Automation Platform manages around two billion conversations from a multitude of channels in numerous languages. VISIT WEBSITE Sprinklr offers a comprehensive suite of 250+ AI-intent bot templates for various industry verticals to accelerate bot development. Its specialised AI and compliant rule engine enables marketers to modify and automate their promotional campaigns for better engagement via suggestion-based personalised bots. VISIT WEBSITE Meta's new class of generative AI features and creative tools allow users to create and share custom stickers or update the visual style of their photos with a simple text prompt. They can also chat with 28 different AIs and get unique perspectives on topics like travel, games and food. VISIT WEBSITE is a UI-based platform that allows marketers to create a chatbot quickly and deploy it easily on multiple channels. Leveraging the capabilities of its conversational builder, enterprises can build the Dialogflow using dialogue messages. Some of its popular offerings include XO: Experience Optimisation and GALE(Beta). VISIT WEBSITE IBM watsonx Assistant is an interactive virtual agent that utilises natural language and AI, enabling users to set it up on their app and website. It offers fast and accurate responses to customers, enhancing their overall experience and satisfaction with its adaptive learning capabilities. VISIT WEBSITE Haptik helps enterprises manage their customer lifecycle with generative AI-powered conversational solutions to boost marketing and sales. It offers Contakt and Interakt to enhance overall CX, where Interakt enables marketers to send hyper-targeted and personalised campaigns to drive customers to take action on WhatsApp. VISIT WEBSITE Dialogflow is an all-in-one platform for developing chatbots, voice bots, and virtual agents using natural language understanding and Google AI. It helps marketing teams create conversational agents that can handle common customer requests and issues, such as FAQs, and order status at scale. VISIT WEBSITE Dialpad is a fully integrated unified conversation intelligence platform that utilises ongoing ML(Machine Learning) algorithms and does not require coding to configure a chatbot. It offers real-time insights and tips, helping marketing teams customise their approach for every customer. VISIT WEBSITE is a low code-no code, enterprise-grade generative AI platform offering readily available LLMs for CX transformations. Its omnichannel reporting and analytics suite for marketing enables organisations to streamline their customer journeys. VISIT WEBSITE is a global conversational AI technology provider optimised for operational efficiency at scale. It offers self-learning AI capabilities that emphasise Natural Language Understanding (NLU) along with intent suggestions. VISIT WEBSITE Avaamo is an all-in-one conversational AI platform for enterprises offering a suite of industry-specific skills developed to automate and resolve common use cases. It offers Outreach, which enables marketers to educate and engage with customers across existing touchpoints through proactive and personalised communication. VISIT WEBSITE Amazon Lex offers fully managed conversational AI interfaces with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. It enables sales and marketing teams to automate user tasks in their applications like the CRM and across any digital channel. VISIT WEBSITE Zendesk is an AI-powered customer feedback software provider, offering customer satisfaction (CSAT) software to businesses across multiple industries. Its marketplace offers 1600+ apps and integrations, enabling marketers to create a complete customer feedback system. VISIT WEBSITE UserVoice provides product feedback management software for SaaS businesses. Its UserVoice Validation tool delivers actionable user insights to inform roadmap strategy. From testing ideas to ensuring satisfaction with released features, it helps research and marketing teams gather quick user feedback throughout the entire product lifecycle. VISIT WEBSITE Twilio provides integrated Mindful Feedback functionality within its Flex offering, enabling marketers to automatically take action based on real-time customer feedback. It automatically collects customer feedback after Flex interactions by capturing feedback over post-call voice IVR, outbound voice IVR, conversational SMS, Web SMS, email, and web surveys. VISIT WEBSITE Trustpilot offers ML and AI-powered feedback management tools, helping marketers build trust and loyalty through customer reviews. Its AI-driven Review Insights tool enables marketers to identify growth areas from negative feedback, whereas its Image Generator tool lets them enhance social media engagement. VISIT WEBSITE Survey Monkey is a global online survey and forms tech stack provider, offering AI-fueled market research solutions to businesses. Its enterprise feedback management program provides 250+ templates with the capabilities of customisation, allowing organisations to build tailored survey forms. VISIT WEBSITE Sprinklr is a unified customer experience platform (CXM), offering AI-powered feedback management capabilities with its flagship product: Sprinklr Surveys. It integrates solicited customer feedback with unified-CXM data, enabling brands to derive meaningful, actionable insights. Utilising its genAI-powered survey builder, marketers can create conversational surveys to streamline their NPS strategies. VISIT WEBSITE Salesforce is a comprehensive customer-oriented technology provider offering a feedback management suite. Salesforce's survey responses help marketers create personalised surveys based on their existing customers' data. Some of the supported applications of its feedback management platform are genAI-powered survey form development and sentiment-insights-based survey collections. VISIT WEBSITE QuestionPro is an online feedback software provider, offering ready-made survey templates to businesses across 40+ countries. Leveraging the capabilities of its customer satisfaction templates, advertisers and marketers can create and gather tailored questions. VISIT WEBSITE Qualtrics is an all-in-one customer experience solution provider, offering website & app feedback tools for organisations to collect customer feedback efficiently. Its digital experience analytics capabilities combined with DXA integrations, bring together verbal and behavioural data for in-depth analysis of user feedback. VISIT WEBSITE HubSpot is a one-stop marketing platform, providing customer feedback software under its Service Hub offerings. Its pre-built APIs include net promote score (NPS), customer effort score (CES), and customer satisfaction (CSAT) surveys, allowing marketers to strengthen their customer loyalty strategy. VISIT WEBSITE Medallia is a comprehensive platform, enabling marketers to capture feedback from all customer touch points. Some of its popular feedback management software capabilities include Sense360 for analysing consumer spending, Medallia Video to automatically extract meaningful insights from customer's feedbacks and Agile Research for creating branded surveys in real-time. VISIT WEBSITE Zeotap lets brands integrate, unify, segment and orchestrate customer data, fostering a cookieless future. It offers a 'Non-Customer Entity Data' feature that helps marketers to integrate both customer and non-customer entity data. VISIT WEBSITE Twilio provides, Twilio Segment, an AI-powered CDP, enabling marketers to streamline their personalised customer engagement journeys. It brings together clean, consented customer data for real-time insights with 450+ pre-built connectors. VISIT WEBSITE Syntasa provides data-ready CDP capabilities, equipping marketers with essential tools to prepare their customer data. It offers real-time sentiment analytics capabilities, helping enterprises derive behavioural insights from unified user profiles to foster hyper-personalised experiences. VISIT WEBSITE SAP is a company-wide customer data management platform, helping marketers improve engagement, conversion, and retention. It offers a genAI-powered data model, enabling enterprises to unify their B2B and B2C customers' profiles to reach their personalisation goals. VISIT WEBSITE Oracle is a global database management company, providing CDP solutions, under its flagship product: Oracle Unity. Its AI-powered models enable marketers to create hyper-personsalised campaigns with predictive insights by streamlining real-time customer data from heterogeneous sources. VISIT WEBSITE Growthloop is a composable CDP platform, allowing marketing and sales team to action their data at scale. It offers GrowthLoop Audience Builder, enabling marketers to initiate their lead generation functions. VISIT WEBSITE Adobe Experience Cloud offers a real-time CDP, letting users create high-value audience segments for B2C and B2B use cases across their marketing funnel. It follows a cookieless marketing approach to automatically unify customer data across various online and offline channels in real-time. VISIT WEBSITE ActionIQ is a composable CDP platform that offers audience segmentation, acquisition marketing, and Customer 360 capabilities. It integrates analytical tools, enabling marketers to collect and analyse their first-party customer data at scale. VISIT WEBSITE Zoho CRM leverages automation and comprehensive analytics to empower any sales team, fostering stronger customer loyalty. Ideal for both small businesses and enterprises, this software enables enhanced productivity and tailored solutions through predictive intelligence. VISIT WEBSITE Zendesk offers Zendesk Sell, an easy-to-deploy CRM platform that is simple to deploy and navigate, catering to businesses of any scale. Its mobile-friendly Sell app has the functionalities of geolocation, helping sales and marketing teams. Offering an all-in-one CRM platform, organisations can implement use cases like prospecting, engagement, lead generation and communication capabilities. VISIT WEBSITE SugarCRM is a global CRM software provider, helping marketing, sales, and service teams improve efficiency through automation, data, and intelligence in near real-time. It offers Sugar Market, an all-in-one marketing automation platform that helps marketers to automate their campaign with higher ROI. VISIT WEBSITE Salesforce is a one-stop sales and support CRM software that regularly updates customer records, tracks emails and calls, and creates organised support processes for quicker customer responses. Its simple and scalable infrastructure is ideal for businesses of all sizes. VISIT WEBSITE Pipedrive stands out with its emphasis on automation, tailorability, and seamless integration. Purposefully built to enhance the efficiency and productivity of sales professionals, this CRM solution has an intuitive setup and robust capabilities. It facilitates lead generation, comprehensive sales analytics, and seamless business expansion. VISIT WEBSITE Oracle NetSuite CRM, a component of Oracle's business software suite, is for all midsize and booming businesses that want a comprehensive, integrated CRM solution with ERP capabilities. Using it, customers and partners can directly interact with the platform, freeing the additional work load for their sales team. VISIT WEBSITE Microsoft Dynamics 365 Sales represents a robust cloud-based CRM solution brimming with features such as pipeline assessment, relationship analytics, and conversational intelligence. It utilises AI-powered insights to provide actionable intelligence via predictive analytics, lead scoring and sentiment analysis. VISIT WEBSITE Less Annoying is a CRM software that utilises a straightforward search feature within its contact management system, making it easy to track contacts. It is ideal for small-sized businesses and offers a highly intuitive and user-friendly interface. VISIT WEBSITE Insightly offers CRM software solutions for enterprises looking to understand their audience data across various marketing functions. It integrates seamlessly with third-party apps, streamlining workflow automation, including bulk emailing and report generation. VISIT WEBSITE HubSpot's sleek dashboard with consolidated CRM tools simplify complex customer data, further transforming it into meaningful insights. Complementing typical CRM functionalities, HubSpot provides tailored options, including conversation intelligence and email monitoring. VISIT WEBSITE Apptivo delivers adaptable and web-based CRM solutions, enabling marketing and sales teams to streamline all customer service requirements across various devices and browsers. Despite its focused feature set, it encompasses over 65 interconnected applications alongside a robust sales pipeline management tool, ensuring efficient tracking of potential leads without any downtime. VISIT WEBSITE Sitecore offers composable cloud solutions with its flagship products, Sitecore Experience Platform(XP) and Sitecore Experience Manager (XM). They help marketers to overcome scalability challenges. Some of its features include intuitive visual editing, headless delivery, marketing automation, scalable personalisation, data and machine learning capabilities. VISIT WEBSITE Salesforce Experience Cloud is a platform that helps enterprises link clients, partners, and employees to securely exchange information and documents. Built on its Customer 360 platform, Salesforce's DXP ensures seamless integration with any solution in the Salesforce ecosystem. VISIT WEBSITE Oracle Cloud offers a comprehensive suite of platform-based marketing automation solutions for personalised B2B and B2C automation campaigns. Some of its featured products are Eloqua Marketing Automation, CrowdTwist Loyalty and Engagement, and Unity Customer Data Platform. VISIT WEBSITE Optimizely is a digital experience platform (DXP) provider that offers Optimizely One, an easy-to-use and fully integrated suite. It provides a single, unified workflow with thoughtfully embedded AI and machine-learning algorithms, accelerating work across the entire marketing lifecycle. VISIT WEBSITE OpenText offers a cloud-native, scalable platform for enterprises to streamline their marketing functions. It provides fully composable content management, digital asset management, creative workflows, personalisation, targeting and customer data technologies in one place, ensuring a holistic approach to B2B, B2E and B2C experiences. VISIT WEBSITE Neptune DXP is a PaaS(Platform-as-a-Service) provider, helping marketing teams build custom apps based on modular, reusable application building blocks. The company offers flexible environments to businesses across different verticals, further providing personalised digital solutions at scale. VISIT WEBSITE Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases. VISIT WEBSITE Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market. VISIT WEBSITE Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle. VISIT WEBSITE HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals. VISIT WEBSITE Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales. VISIT WEBSITE Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics. VISIT WEBSITE Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage. VISIT WEBSITE Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio. VISIT WEBSITE
Fashion Network
16-05-2025
- Business
- Fashion Network
Alibaba misses revenue estimates as it fights for China e-commerce market dominance
Alibaba's rival beat first-quarter revenue estimates on Tuesday and said it was seeing strong user growth despite the prolonged economic weakness weighing on consumer sentiment. Chinese shoppers, grappling with a prolonged property crisis and a cloudy economic outlook, have increasingly become cost-conscious, prompting deep discounts and rock-bottom prices to stimulate spending. That has sparked a price battle among China's largest online e-commerce platforms including Alibaba, PDD Holdings' Pinduoduo and as they jostle for market share. Alibaba's domestic e-commerce business Taobao and Tmall Group produced revenue growth of nearly 9% for the quarter, the group said, attributing this to strong momentum in new consumer growth and a continuing increase in orders. Chinese e-commerce giants have been aggressively expanding into so-called instant retail, focusing on delivery speeds of 30 to 60 minutes, in their battle for market share. Both and Alibaba's platforms have increased incentives to users including coupons to try their expanded instant retail and food delivery offerings. Alibaba E-commerce Business Group Chief Executive Jiang Fan told analysts on a call that Alibaba would be "investing aggressively" in the instant retail business in the short term. "One thing to note about this instant retail market is that it's a huge market," he said. "Today, it could be a market of say 500 to 600 million consumers. Going forward, that can easily become 1 billion consumers." Alibaba's international commerce division (AIDC), which includes cross-border player AliExpress, produced 22% in revenue growth, though that missed forecasts for 26.4% growth. "International business missed but I'm not sure if it was due to AliExpress suffering from tariff impacts," said M Science analyst Vinci Zhang. "I thought it was interesting that they didn't highlight anything related to the U.S... That to me felt a bit deliberate." Alibaba Group CEO Eddie Wu acknowledged "uncertainties in global trade regulations" as a potential headwind, though he added that AIDC remained on track to achieve profitability in the coming fiscal year. Investors are also shifting focus to the "618" festival, one of the biggest annual shopping events in China, which culminates on June 18. Retailers have already started pre-sales. Alibaba's Cloud Intelligence Unit's revenue grew 18% to 30.13 billion yuan. The group has emerged as a leader in China's competitive AI race and the tech giant has consistently released new models throughout the year. It launched Qwen 3 in April, an upgraded version of its flagship AI model that introduces new hybrid reasoning capabilities.
